SHANGHAI, March 22, 2018 /PRNewswire/ -- The results of the
Indian Diabetic Retinopathy Image Dataset (IDRiD) fundus analysis
competition organized by the IEEE International Symposium on
Biomedical Imaging (ISBI) were recently announced. Ping An
Technology's PAMIA (Ping An Medical
Imaging Assistant) performed head and shoulders above its
peers, including a world first in EX
(hard exudates) image segmentation, world second in
HE (bleeding) segmentation and world third in MA (microaneurysm)
segmentation task.
This is the second time this year that Ping An Technology has
garnered awards in a world-class competition in the medical imaging
research sector, heralding another milestone for the company in
artificial intelligence. Earlier in the year, PAMIA had set a new record for nodule
detection with an accuracy rate of 95.1 percent, and beat its own
previous record for false positive reduction with an accuracy rate
of 96.8 per cent in the international authoritative Lung Nodule
Analysis (LUNA) rankings for medical imaging.
ISBI is an international conference dedicated to biomedical
imaging sponsored by the
IEEE Signal Processing Society (SPS) and the IEEE
Engineering in Medicine & Biology Society
(EMBS). The competition attracted the participation of 22
well-known research and medical institutions, among them, iFlytek,
Nanyang Technological University, National Tsing
Hua University, Peking University and Samsung. The diabetic
retinopathy (DRP) segmentation and classification challenge using
the IDRiD dataset included three subsections: lesion segmentation,
case classification and monitoring of the optic disc and central
fovea. The subsection that the PAMIA platform participated in is the most
difficult competition in terms of lesion segmentation and best
reflects the strength of intelligent film reading.
DRP is one of the most common microvascular complications in
diabetes, with a very high incidence of vision impairment
including, in some cases, total blindness. Timely detection and
treatment can greatly reduce the risk of vision loss, while early
detection with an indication for treatment has important clinical
significance. The three lesions, EX, MA and HE, are key to the
diagnosis of DRP, in which EX is the main characteristic of the
middle stage of the disease, while also signaling the critical time
period for engaging in a treatment regimen. The detection and
segmentation model for EX, HE and MA can be used to display the
edge of the relevant lesions on the basis of classification
prediction of DRP, assisting doctors in diagnosing and deciding on
the best treatment options quickly. PAMIA ranks first worldwide when it comes to
EX, the most difficult yet most important lesions segmentation
challenge, while ranking among the top three globally for the
segmentation of other lesions.
The fundus image is different from other image scenarios, as
these lesions only occupy a few dozen pixels. PAMIA, in order to ensure the detection
sensitivity, combined its comprehensive advantages in the field of
medical diagnosis and deep learning with its experience of setting
new world records in the LUNA competition at the beginning of the
year to design a new segmentation network that used deep and
transfer learning theories to identify suspected lesions quickly
and achieve boundary segmentation. At present, the marking and
segmentation of lesions can be completed in a few seconds, greatly
improving the reading speed and accuracy rate.
Ping An Technology has achieved several milestones in the
intelligent film reading field since 2016 when it entered the
medical imaging sector. These achievements reflect the company's
leadership and dominant position in the technologies related to
medical imaging. With this award as a new milestone, PAMIA plans to devote itself to furthering
its research on medical artificial intelligence, helping to achieve
a strategic development goal for China's artificial intelligence sector.
About PAMIA (Ping An Medical Imaging
Assistant)
PAMIA is an open and
comprehensive intelligent imaging auxiliary diagnostic platform
that integrates medical-related hardware and software service
providers. With Ping An's leading
intelligent medical imaging technology as the core and
the Ping An Cloud as the medium for transmission, the platform is
dedicated to providing one-stop solutions for government and
medical institutions. The platform provides many functions,
including radiographic and cancer pathological imaging disease
screening, auxiliary diagnosis and treatment of disease, and
quality control of medical images. The smart imaging module
provides a vehicle through which medical institutions can improve
the efficiency of diagnosis and treatment via radiology and
pathological imaging and improve the quality of healthcare overall,
while the medical image quality control module can improve
compliance at the managerial level by connecting the medical
cluster with all types of hospitals and departments within
hospitals as a means to optimize image transmission, quality
control, intelligent reporting, difficult case diagnosis and other
functions.
About Ping An Technology
Ping An Technology, a wholly-owned subsidiary of Ping An
Insurance (Group) Company of China, Ltd., is committed to leveraging the
cloud as a tool to improve the quality of life for all via the
application of biometrics, artificial intelligence, big data, cloud
computing, blockchain, security and
other cutting edge technologies. As the high-tech
arm and incubator of the Group, Ping An
Technology is responsible for developing and managing the Group's
key platforms and services. In addition, by means of smart
technologies, Ping An Technology has empowered whole industries
with scientific and technological capabilities, and applied
technical capabilities certified by international authorities to
scenarios across a wide array of industries. At present, Ping An
Technology has formed a cloud ecosystem that encompasses finance,
healthcare, education, security, agriculture and entertainment, as
well as other sectors, fulfilling the corporate mission
encapsulated in the corporate philosophy:
"Technology Changes Our Life".
A senior research and development team of more than 4, 000
professional IT technicians and management experts provide strong
technical support for the stable and reliable operation of the
platform. The current cloud ecosystem currently supports more than
400 million Internet users.
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SOURCE Ping An Technology